activity
20232026
most citedDexterous Functional Pre-Grasp Manipulation with Diffusion Policy

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes

Jiyao Zhang, Zhiyuan Ma, Tianhao Wu +2

Dexterous grasping in cluttered environments presents substantial challenges due to the high degrees of freedom of dexterous hands, occlusion, and potential collisions arising from…

cs.RO2025

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes

Zeyuan Chen, Qiyang Yan, Yuanpei Chen +6

Dexterous grasping in cluttered scenes presents significant challenges due to diverse object geometries, occlusions, and potential collisions. Existing methods primarily focus on s…

cs.RO2025

Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation

Jinzhou Li, Tianhao Wu, Jiyao Zhang +6

Effectively utilizing multi-sensory data is important for robots to generalize across diverse tasks. However, the heterogeneous nature of these modalities makes fusion challenging.…

cs.AI2025

Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution

Zen Kit Heng, Zimeng Zhao, Tianhao Wu +4

Large Language Models (LLMs) are emerging as promising tools for automated reinforcement learning (RL) reward design, owing to their robust capabilities in commonsense reasoning an…

cs.RO2024

Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning

Tianhao Wu, Jinzhou Li, Jiyao Zhang +2

Tactile sensing plays a vital role in enabling robots to perform fine-grained, contact-rich tasks. However, the high dimensionality of tactile data, due to the large coverage on de…

cs.RO2024★ 3 cited

Dexterous Functional Pre-Grasp Manipulation with Diffusion Policy

Tianhao Wu, Yunchong Gan, Mingdong Wu +4

In real-world scenarios, objects often require repositioning and reorientation before they can be grasped, a process known as pre-grasp manipulation. Learning universal dexterous f…

cs.RO2023★ 1 cited

GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping

Tianhao Wu, Mingdong Wu, Jiyao Zhang +2

The use of anthropomorphic robotic hands for assisting individuals in situations where human hands may be unavailable or unsuitable has gained significant importance. In this paper…